InCHlib - interactive cluster heatmap for web applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F14%3A43898099" target="_blank" >RIV/60461373:22310/14:43898099 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68378050:_____/14:00441263

Výsledek na webu

<a href="http://www.jcheminf.com/content/6/1/44" target="_blank" >http://www.jcheminf.com/content/6/1/44</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s13321-014-0044-4" target="_blank" >10.1186/s13321-014-0044-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

InCHlib - interactive cluster heatmap for web applications

Popis výsledku v původním jazyce

Hierarchical clustering is an exploratory data analysis method that reveals the groups of similar objects. The result of the hierarchical clustering is a tree structure called dendrogram that shows the arrangement of individual clusters. To investigate the row/column hierarchical cluster structure of a data matrix, a visualization tool called 'cluster heatmap' is commonly employed. In the cluster heatmap, the data matrix is displayed as a heatmap, a 2-dimensional array in which the colour of each element corresponds to its value. The rows/columns of the matrix are ordered such that similar rows/columns are near each other. The ordering is given by the dendrogram which is displayed on the side of the heatmap. We developed InCHlib (Interactive Cluster Heatmap Library), a highly interactive and lightweight JavaScript library for cluster heatmap visualization and exploration. InCHlib enables the user to select individual or clustered heatmap rows, to zoom in and out of clusters or to flexi

Název v anglickém jazyce

InCHlib - interactive cluster heatmap for web applications

Popis výsledku anglicky

Hierarchical clustering is an exploratory data analysis method that reveals the groups of similar objects. The result of the hierarchical clustering is a tree structure called dendrogram that shows the arrangement of individual clusters. To investigate the row/column hierarchical cluster structure of a data matrix, a visualization tool called 'cluster heatmap' is commonly employed. In the cluster heatmap, the data matrix is displayed as a heatmap, a 2-dimensional array in which the colour of each element corresponds to its value. The rows/columns of the matrix are ordered such that similar rows/columns are near each other. The ordering is given by the dendrogram which is displayed on the side of the heatmap. We developed InCHlib (Interactive Cluster Heatmap Library), a highly interactive and lightweight JavaScript library for cluster heatmap visualization and exploration. InCHlib enables the user to select individual or clustered heatmap rows, to zoom in and out of clusters or to flexi

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LO1220" target="_blank" >LO1220: CZ-OPENSCREEN: Národní infrastruktura chemické biologie</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Cheminformatics

ISSN

1758-2946

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

44

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

000342097600001

EID výsledku v databázi Scopus

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